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多微阵列分析鉴定糖尿病肾病相关的关键基因。

Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy.

机构信息

Department of Internal Medicine, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Department of Nephrology, Tianjin Union Medical Center, Tianjin, China.

出版信息

Medicine (Baltimore). 2023 Nov 17;102(46):e35985. doi: 10.1097/MD.0000000000035985.

DOI:10.1097/MD.0000000000035985
PMID:37986381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10659630/
Abstract

The purpose of our study was to discover genes with significantly aberrant expression in diabetic nephropathy (DN) and to determine their potential mechanism. We acquired renal tubules, glomerulus and blood samples data from DN patients and controls from the GEO database. The differentially expressed genes (DEGs) in renal tubules, glomerulus and blood samples between DN patients and controls were studied. Based on these DEGs, we carried out the functional annotation and constructed protein-protein interaction (PPI) network. By comparing DN patients and controls of DEGs, we acquired the shared DGEs in renal tubules, glomerulus and blood samples of DN patients and controls. DN patients compared to controls, we obtained 3000 DEGs, 3064 DEGs, and 2296 DEGs in renal tubules, glomerulus and blood samples, respectively. The PPI networks of top 40 DEGs in renal tubules, glomerulus and blood samples was consisted of 229 nodes and 229 edges, 540 nodes and 606 edges, and 132 nodes and 124 edges, respectively. In total, 21 shared genes were finally found, including CASP3, DHCR24, CXCL1, GYPC, INHBA, LTF, MT1G, MUC1, NINJ1, PFKFB3, PPP1R3C, CCL5, SRSF7, PHLDA2, RBM39, WTAP, BASP1, PLK2, PDK2, PNPLA4, and SNED1. These genes may be associated with the DN process. Our study provides a basis to explore the potential mechanism and identify novel therapeutic targets for DN.

摘要

本研究旨在发现糖尿病肾病（DN）中表达明显异常的基因，并确定其潜在机制。我们从 GEO 数据库中获取了 DN 患者和对照者的肾小管、肾小球和血液样本数据。研究了 DN 患者和对照者肾小管、肾小球和血液样本中差异表达基因（DEGs）。基于这些 DEGs，我们进行了功能注释，并构建了蛋白质-蛋白质相互作用（PPI）网络。通过比较 DN 患者和对照者的 DEGs，我们获得了 DN 患者和对照者肾小管、肾小球和血液样本中共有 DGEs。与对照者相比，DN 患者在肾小管、肾小球和血液样本中分别获得了 3000、3064 和 2296 个 DEGs。肾小管、肾小球和血液样本中 top40 DEGs 的 PPI 网络分别由 229 个节点和 229 条边、540 个节点和 606 条边、132 个节点和 124 条边组成。总共最终发现了 21 个共有基因，包括 CASP3、DHCR24、CXCL1、GYPC、INHBA、LTF、MT1G、MUC1、NINJ1、PFKFB3、PPP1R3C、CCL5、SRSF7、PHLDA2、RBM39、WTAP、BASP1、PLK2、PDK2、PNPLA4 和 SNED1。这些基因可能与 DN 过程有关。本研究为探索潜在机制和确定 DN 的新治疗靶点提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c4/10659630/e82d49c0f6ab/medi-102-e35985-g007.jpg
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